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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Sensors and Materials, Volume 35, Number 1(3) (2023)
Copyright(C) MYU K.K.
pp. 333-346
S&M3171 Research Paper of Special Issue
https://doi.org/10.18494/SAM4228
Published: January 31, 2023

Optimization Strategy for Building Tile Pyramid of Massive Remote Sensing Images [PDF]

Xiaoli Liu and Wei Sun

(Received October 31, 2022; Accepted January 11, 2023)

Keywords: tile pyramid, massive remote sensing images, multithreading, parallelism

The efficient building of tile pyramids is the basis for achieving efficient visualization of massive remote sensing images and network publishing. With the increasing number of images and amount of data from images, the existing method leads to excessive overall time consumption and low efficiency of the building process due to the poor quality of building algorithms and parallel strategies. In this study, an optimization strategy for building a tile pyramid of massive remote sensing images was proposed. This method comprehensively used the hierarchical blank tiles of remote sensing images and the strategy of multithreading parallel pyramid construction to reorganize the existing tile pyramid construction process. The experimental results showed that the method proposed in this study was less time-consuming and had an obviously improved overall efficiency compared with that of the existing method of building a tile pyramid using massive remote sensing images. Therefore, this method is more advantageous to use than previous methods.

Corresponding author: Xiaoli Liu


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Cite this article
Xiaoli Liu and Wei Sun, Optimization Strategy for Building Tile Pyramid of Massive Remote Sensing Images, Sens. Mater., Vol. 35, No. 1, 2023, p. 333-346.



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